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《Journal of Chongqing Institute of Technology(Natural Science)》 2009-09
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Application of Gobor Wavelet and SLLE in Face Recognition

LI Jian-wei,FAN Chao(Key Lab.of Opto-Electronic Technique of State Education Ministry,Chongqing University,Chongqing 400030,China)  
In order to improve the recognition rate of face recognition algorithm,this paper presents a new algorithm of face recognition based on Gabor wavelet transform and Supervised Locally Linear Embedding(SLLE).First of all,Gabor wavelet is introduced as a method to extract Gabor magnitude features by convolving the normalized face image with multi-scale and multi-orientation Gabor filters.In the feature extraction module,the dimension of Gabor features are reduced by Supervised Locally Linear Embedding(SLLE).Finally,a minimum-distance classifier is trained for classification.The result of experiment on the ORL and YALE face database shows a 3.5 %~37.8% increase in recognition rate compared to others.The proposed algorithm improves face recognition performance effectively.
【Fund】: 重庆市自然科学基金资助项目(CSTC 2008BB2160)
【CateGory Index】: TP391.41
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